16 machine-learning "https:" "https:" "https:" "https:" uni jobs at Ghent University in Belgium
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consistency outside the training domain. This PhD research is envisioned to result in a breakthrough in the application of machine learning methods to fire engineering problems, by ensuring compatibility with
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concepts such as digital twins, learning from human interactions. In the domain of efficiency and sustainability, projects relate to a.o. the development of novel electrical machines, engineering of
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interdisciplinary research project at IDLab-MEDIA (https://media.idlab.ugent.be/ ), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision
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research project at IDLab-MEDIA (https://media.idlab.ugent.be/ ), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision. Within
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and practical experience with modeling and machine learning software NONMEM, Monolix, Simcyp, PK-Sim, Gastroplus, R and/or Python is a plus You have excellent teaching and communication skills Any
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, machine learning) for energy applications, mostly focusing on reinforcement learning (RL), where you will consider innovative extensions (e.g., new neural network architectures) of state-of-the-art
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employees as well as its students. YOUR TASKS At least 50% of your assignment will be spent on academic research in preparation of a doctoral dissertation in the disciplines robotics and machine learning
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. ASSIGNMENT Academic education You lecture various course units in the discipline of bioinformatics, data analysis of large-scale (bio)medical data, applications of artificial intelligence and machine learning
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complex omics data. Therefore, knowledge of programming languages such as Python or R is necessary and prior experience with data science, high-throughput omics, Linux command line, machine learning and
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computer scientist who can lead a research group where the development of new machine learning techniques serves as an important basis for tackling challenging biotechnological issues. Your achievements in